Ethical Considerations for Companies Implementing LLMs in Education Software

Abstract

Large Language Models (LLMs) have revolutionized natural language processing, offering significant advancements in educational software through applications like personalized learning and virtual tutoring. This position paper investigates the ethical considerations for companies integrating LLMs into educational tools. Key issues include data privacy, with a focus on safeguarding sensitive student information against breaches while ensuring transparency and consent. The paper highlights the risk of misinformation, as LLMs might generate incorrect or misleading content that could affect students’ learning. It also addresses concerns about algorithmic bias, which can lead to unfair treatment of students from diverse backgrounds, and the potential over-reliance on AI, which may undermine critical thinking and human oversight. Additionally, the paper explores the challenge of equitable access to LLM- based technologies, particularly in underserved communities. The analysis concludes with practical recommendations for companies, including robust data protection measures, balanced AI integration with human oversight, and strategies to enhance access for all students. By emphasizing these ethical challenges, the paper aims to guide responsible AI implementation in education, ensuring that technological advancements benefit all learners fairly and effectively.